Ant colony optimization based extraction method of intelligent olfaction spectrum characteristics representing difference of honey

Abstract

An ant-colony-algorithm-based extraction method of intelligent olfaction spectrum characteristics representing the difference of honey is disclosed. The ant colony algorithm belongs to the heuristic feature selection approach, and automatically starts to find the best result from the characteristic points by utilizing the automatic iterative evolution of algorithm until the best result is found. The extraction method is characterized in that: ant colony algorithm is applied to selection of characteristic points, and the ant colony algorithm is applied to simulate genetic algorithm. Bayes of selected characteristic points is utilized to judge the accurate rate, and selected characteristic points are utilized to construct a fitness function to find an optimum vector combination. The main innovation points of the algorithm comprises: (a) the number of selected characteristic points is added into the fitness function, a cost parameter is set, through the adjustment of the parameter, the number of the characteristic points and judgment accurate rate can be selected according to the needs; (b) in order to avoid the update direction error caused by special points, an optimum collection is established, and the optimum collection replaces the single optimum point to carry out selection; (c) the update grade of biotin is in a direct ratio relationship with the improvement of the fitness function, the optimizing effect of the algorithm is good, and thus the upgrade range is increased; (d) in order to accelerate the calculation speed, the volatile speed of vectors with a bad effect is accelerated, thus the concentration of pheromone is decreased, so that the disturbance on the latter calculation is reduced.

Description

technical field [0001] The present application relates to a feature extraction method based on an ant colony algorithm to characterize the difference of honey intelligent olfactory spectrum. Background technique [0002] my country's honey production ranks first in the world. In recent years, the output has maintained a rapid growth trend, from 252,000 tons in 2001 to 402,000 tons in 2009, accounting for more than 30% of the world's total output from nearly 20%. However, due to the drive of economic interests, the current honey market is seriously adulterated, resulting in adulterated honey accounting for 20% to 30% of the honey market. In some areas, adulterated and fake bee products account for about 50%, seriously damaging the interests of consumers and affecting The healthy development of the honey industry and the fight against foreign exchange earnings from export trade. [0003] Due to the lack of detection methods, it is difficult to crack down on adulteration. The ...

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However, it is still weak in differential information mining, which

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